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1. University: Data in original (LISP-readable) form

2. Spoken Arabic Digit: This dataset contains timeseries of mel-frequency cepstrum coefficients (MFCCs) corresponding to spoken Arabic digits. Includes data from 44 male and 44 female native Arabic speakers.

3. Geographical Original of Music: Instances in this dataset contain audio features extracted from 1059 wave files. The task associated with the data is to predict the geographical origin of music.

4. Firm-Teacher_Clave-Direction_Classification: The data are binary attack-point vectors and their clave-direction class(es) according to the partido-alto-based paradigm.

5. Chronic_Kidney_Disease: This dataset can be used to predict the chronic kidney disease and it can be collected from the hospital nearly 2 months of period.

6. Folio: 20 photos of leaves for each of 32 different species.

7. Air quality: Contains the responses of a gas multisensor device deployed on the field in an Italian city.

8. Demand Forecasting for a store: Contains data for a store from week 1 to week 146.


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